CodeAnt AI is an agentic security platform that combines defensive and offensive security — from your codebase to your attack surface. Every line reviewed. Every endpoint tested. Every risk ranked. Defensive. Catch issues in the IDE and CLI before a line is committed. Review every pull request with full codebase context. Scan code, infrastructure, and dependencies in one unified AI SAST pass. Offensive. Map your public exposure. Run chained attacks with 500+ exploit agents. Re-attack with grey-box knowledge learned from your codebase.Documentation Index
Fetch the complete documentation index at: https://docs.codeant.ai/llms.txt
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These docs cover the defensive layer, Control Center, and Cloud Security. For the offensive layer and the full platform, see codeant.ai.
Where CodeAnt runs
- Control Center: Visualize and manage security and code health across every repo, and fix the most impactful risks.
- Pull Request Review: AI line-by-line code review, security and quality scans on every PR, auto-suggested fixes, and AI PR summaries.
- IDE & CLI: Catch security and quality issues in real time — in your IDE, your terminal, or CI.
- Scan Center: AI SAST across code, infrastructure, dependencies, and secrets — in one unified scan.
- Cloud Security: Detect and fix misconfigurations across AWS, GCP, and Azure.